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Contract Databricks Data Engineer Jobs in Calgary, AB

Role: Data Scientist - Specialist (Contract) Length: 1 year (potential for extension) Location ... You will work closely with Data Engineers, domain experts, and cross-functional stakeholders to ...

Experience using Databricks for data engineering, analytics, and application development * Proficiency in data analytics and visualization tools (e.g., Power BI, Spotfire, R Studio, or similar)

Bachelors or Diploma in Computer Science, Database Management, Data Programming, Information ... Databricks pipelines in Python) for financial analysis * SQL code scripting, including creation ...

Senior Manager - Data Engineering

Calgary, AB ยท On-site +1

CA$120K - CA$160K/yr

Lead the build-out of Canada's Gold/semantic consumption layer with data contracts and SLAs, and retire the legacy analytics warehouse. * Partner with the Lead Data Engineer on system design of our ...

Collaborate with Data Engineering and IT teams to ensure analytics solutions align with data ... Familiarity with modern data lakehouse architectures and exposure to platforms such as Databricks ...

Staff Data Scientist

Calgary, AB ยท Hybrid

CA$192K - CA$230K/yr

Partner with Data Engineering to optimize data pipelines for ML and with Product to ensure ... Advanced experience with AWS and Databricks. * Proficiency in distributed computing (e.g., Spark ...

BA'S

Calgary, AB ยท On-site

You will work directly with client stakeholders, project teams, data engineers, architects, and ... Gain exposure to leading cloud and data platforms including Databricks, AWS, and Microsoft.

Data Architect

Calgary, AB ยท Hybrid

CA$128K - CA$147K/yr

This is a hands-on senior engineering role that blends deep SQL and modeling expertise with product ... Familiarity with cloud warehouses (Snowflake, BigQuery, Databricks) and reverse-ETL patterns.

Join us as a Specialist Mine Engineer, Data Analytics, and help transform complex operational data ... SQL, DAX, Python, Databricks and snowflake. * Excellent communication, collaboration, and ...

Role: Machine Learning Engineer - Contract Length: 1 year (potential for extension) Location ... as Databricks What You'll Get in Return * Opportunity to work on cutting-edge AI/ML and data ...

Senior Developer, Enterprise AI

Calgary, AB ยท Remote

CA$176K - CA$202K/yr

Partner with Data Engineering and Data Insights on data modeling, classification, and metadata management (e.g., Databricks, dbt). * Contribute to developer accelerator tooling (e.g. standardized ...

Bachelor's degree in computer science, Engineering, related STEM field or work experience * 3+ ... Databricks, Data factory, Synapse, Azure SQL, AI\ML, advance analytics, and Kubernetes service

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Contract Databricks Data Engineer information

What are some common challenges faced by contract Databricks Data Engineers when integrating data from multiple sources?

As a contract Databricks Data Engineer, you'll often encounter challenges related to integrating diverse data sources, such as on-premises databases, cloud storage, and APIs. These challenges may include handling inconsistent data formats, managing data quality, and ensuring secure data transfers. Additionally, adapting to clients' unique data architectures and optimizing ETL pipelines for performance in a cloud environment are common tasks. Collaboration with data scientists, analysts, and other engineers is critical to ensure data is both accessible and reliable for downstream analytics and machine learning.

What are Contract Databricks Data Engineers?

Contract Databricks Data Engineers are professionals hired on a temporary or project basis to design, build, and maintain data infrastructure using Databricks, a unified analytics platform. They typically work with big data tools, cloud environments, and programming languages like Python or Scala to process and analyze large datasets. Their responsibilities often include developing data pipelines, optimizing data workflows, and collaborating with data scientists and analysts to support business objectives. Because they are contractors, their roles can vary by project and organization, offering flexibility and specialized expertise.

What are the key skills and qualifications needed to thrive as a Contract Databricks Data Engineer, and why are they important?

To excel as a Contract Databricks Data Engineer, you need strong experience in data engineering, SQL, Spark, and cloud platforms, often supported by a degree in computer science or a related field. Familiarity with Databricks, Apache Spark, Python or Scala, and cloud services like AWS or Azure is typically required, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you work effectively in dynamic, project-based environments. These competencies ensure the efficient design and implementation of scalable data solutions, driving business insights and project success.
What are the most commonly searched types of Databricks Data Engineer jobs in Calgary, AB? The most popular types of Databricks Data Engineer jobs in Calgary, AB are:
What are popular job titles related to Contract Databricks Data Engineer jobs in Calgary, AB? For Contract Databricks Data Engineer jobs in Calgary, AB, the most frequently searched job titles are:
What job categories do people searching Contract Databricks Data Engineer jobs in Calgary, AB look for? The top searched job categories for Contract Databricks Data Engineer jobs in Calgary, AB are:

Lead ML Engineer - Cloud AI, MLOps & Agentic AI - AIRLHV

NavitasPartners

Calgary, AB โ€ข On-site, Remote

Full-time

Posted 20 days ago

Be an early applicant


Job description

Lead ML Engineer โ€“ Cloud AI, MLOps & Agentic AI

Location: US / Canada (Remote/Hybrid)
Type: Contract / Full-Time

Overview:

We are looking for a Lead ML Engineer to drive enterprise AI initiatives, focusing on MLOps, GenAI, and next-generation agentic AI systems in cloud environments.

Key Responsibilities:

  • Lead design and deployment of ML and GenAI solutions
  • Build scalable MLOps pipelines and automation frameworks
  • Collaborate with architects and engineering teams to deliver AI solutions
  • Ensure governance, compliance, and responsible AI practices

Required Skills:

  • Extensive experience in ML/AI engineering and MLOps
  • Strong programming skills (Python, PyTorch)
  • Experience with cloud platforms (AWS, Azure, GCP)
  • Proven experience in deploying scalable AI solutions

Nice to Have / Coverage:

  • Experience with agentic AI and GenAI frameworks (LangChain, LLM ecosystems)
  • Exposure to data engineering tools (Databricks, Snowflake, BigQuery, Synapse)
  • Familiarity with AI governance, compliance, and ethical AI frameworks
  • Collaboration with cloud/data platform architects in enterprise environments

For more details reach at resumes@navitassols.com.